Sholom Schechtman, Daniil Tiapkin, Michael Muehlebach, Éric Moulines. Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold. In Gergely Neu, Lorenzo Rosasco, editors, The Thirty Sixth Annual Conference on Learning Theory, 12-15 July 2023, Bangalore, India. Volume 195 of Proceedings of Machine Learning Research, pages 1228-1258, PMLR, 2023. [doi]
@inproceedings{SchechtmanTMM23,
title = {Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold},
author = {Sholom Schechtman and Daniil Tiapkin and Michael Muehlebach and Éric Moulines},
year = {2023},
url = {https://proceedings.mlr.press/v195/schechtman23a.html},
researchr = {https://researchr.org/publication/SchechtmanTMM23},
cites = {0},
citedby = {0},
pages = {1228-1258},
booktitle = {The Thirty Sixth Annual Conference on Learning Theory, 12-15 July 2023, Bangalore, India},
editor = {Gergely Neu and Lorenzo Rosasco},
volume = {195},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}